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JMLR
2011
192views more  JMLR 2011»
13 years 2 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
NIPS
2007
13 years 9 months ago
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
J. Zico Kolter, Pieter Abbeel, Andrew Y. Ng
EWCBR
2004
Springer
14 years 1 months ago
Fault Diagnosis of Industrial Robots Using Acoustic Signals and Case-Based Reasoning
In industrial manufacturing rigorous testing is used to ensure that the delivered products meet their specifications. Mechanical maladjustment or faults often show their presence t...
Erik Olsson, Peter J. Funk, Marcus Bengtsson
IROS
2009
IEEE
150views Robotics» more  IROS 2009»
14 years 2 months ago
Learning locomotion over rough terrain using terrain templates
— We address the problem of foothold selection in robotic legged locomotion over very rough terrain. The difficulty of the problem we address here is comparable to that of human...
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, S...
MICCAI
2005
Springer
14 years 8 months ago
Spatial Motion Constraints for Robot Assisted Suturing Using Virtual Fixtures
We address the problem of the stitching task in endoscopic surgery using a circular needle under robotic assistance. Our main focus is to present an algorithm for suturing using gu...
Ankur Kapoor, Ming Li, Russell H. Taylor